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    Sentiment Analysis for Your Customer Feedback

    AI-powered sentiment analysis for surveys and reviews

    See at a glance what your customers really think of you. zenloop automatically analyzes comments from surveys and reviews, classifies every sentiment and shows you the topics behind it.

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    What is sentiment analysis and how does it help your customer feedback?

    Sentiment analysis is a method that classifies text as positive, negative or neutral, revealing the sentiment behind comments, reviews and survey responses. The methods of sentiment analysis have changed a lot over time: feedback used to be read and categorized by hand, then rule-based systems with fixed word lists took over. Today, AI is the standard. It understands context and evaluates multiple topics within a single comment separately. zenloop takes this one step further with the AI Dictionary: the AI detects your topics automatically, discovers new ones and delivers reliable results without complex setup.

    How sentiment analysis works in zenloop

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    Collect

    Feedback from NPS, CSAT and CES surveys plus reviews from Amazon, Google, Trustpilot and 200+ platforms in one place.

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    Understand

    The AI detects every topic in a comment and rates each one separately, e.g. praise for delivery and criticism of the price.

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    Act

    When sentiment drops or outliers appear, your team is notified automatically and can respond right away.

    From sentiment to decisions

    Sentiment per topic
    A comment like “Super fast delivery, but the packaging was damaged” gets two sentiments instead of one overall score. The analysis runs in the original language, in over 100 languages.
    React instantly
    When sentiment shifts, AI insights raise the alarm before your monthly report does. Critical responses are routed automatically via workflow to Zendesk, Salesforce or HubSpot.
    Compare sentiment
    Compare sentiment across markets, stores or delivery carriers and against the previous month. In reviews, you also see where you stand compared to your competitors.

    More than positive or negative

    Every sentiment has a topic behind it. The AI Dictionary assigns topics and sentiment automatically and even discovers topics you hadn’t thought of. It works right away, with no setup required. If you like, you can adjust topics and fine-tune them with examples. In zenDashboards, you track sentiment over time, filtered by segment, product or region. With zenJourneys, you see at which stage of the customer journey promoters turn into detractors.

    How teams use sentiment analysis

    Customer service & CX
    Spot unhappy customers before they churn. Negative sentiment goes straight to the right team, so you can follow up while the relationship can still be saved.
    Marketing
    Analyze customer sentiment about your brand, in surveys and public reviews alike. Measure whether campaigns land and spot reputation risks early.
    Product
    Pull the feature requests and pain points that matter from thousands of comments. See which topics come up most often and how customers feel about them.

    Real results with sentiment analysis

    Real Estate
    40,000 comments analyzed with AI
    Support CSAT from 2.9 to 3.9, seller NPS from 16 to 32.
    Read more
    E-Commerce / Beauty
    Customer sentiment across 12 markets
    2.1M feedback entries analyzed, NPS of +86.
    Read more
    Energy & Utilities
    11,000 customer voices put to work
    20+ touchpoints, automated sentiment analysis, NPS of +54.
    Read more

    Frequently asked questions about sentiment analysis

    What is a sentiment analysis tool?

    A sentiment analysis tool automatically analyzes text such as comments, reviews or survey responses and classifies it as positive, negative or neutral. zenloop goes one step further: the AI also detects which topics the sentiment relates to.

    What data can zenloop analyze?

    zenloop analyzes comments from NPS, CSAT, CES and custom surveys, plus reviews from Amazon, Google, Trustpilot and more than 200 other platforms. That way, you see customer sentiment from every channel in one place.

    How accurate is the AI sentiment analysis?

    The AI doesn’t just rate the comment as a whole, it rates each topic separately. A sentence like “Fast delivery, but expensive shipping” isn’t scored as neutral. It gets a positive sentiment for delivery and a negative one for price.

    Which languages does the sentiment analysis support?

    Sentiment analysis works in over 100 languages. Feedback is analyzed in its original language, without prior translation. This is especially important for companies operating in multiple countries.

    Can I define the topics myself?

    Yes. In the AI Dictionary, you can create and rename topics and train the AI with descriptions and examples. At the same time, the AI suggests new topics you may not have thought of yet.

    What is the difference between NPS and sentiment analysis?

    NPS measures how likely customers are to recommend you. Sentiment analysis shows why: it analyzes the comments behind the score and reveals which topics drive satisfaction.

    Can sentiment analysis be connected to other tools?

    Yes. Critical feedback is routed via workflow directly to Zendesk, Salesforce or HubSpot. Through the API, you can also send the results to your CRM, data warehouse or BI tool.

    Is the sentiment analysis GDPR compliant?

    Yes, zenloop processes all data in compliance with GDPR.

    Let’s find out what works for you.

    Talk to our experts and find out which feedback tools fit your goals. Whether surveys, review management or AI-powered analytics – we’ll show you how to get the most out of it for your brand.

    sales@zenloop.com | +49 30 91739927